Open AccessMPGL: An Efficient Matching Pursuit Method for Generalized LASSO
Author(s) -
Dong Gong,
Mingkui Tan,
Yanning Zhang,
Anton van den Hengel,
Qinfeng Shi
Publication year - 2017
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v31i1.10819
Subject(s) - lasso (programming language) , regularization (linguistics) , mathematical optimization , transformation (genetics) , cutting plane method , computer science , matching (statistics) , quadratic equation , quadratic programming , matching pursuit , linear programming , algorithm , convex optimization , regular polygon , mathematics , artificial intelligence , compressed sensing , integer programming , statistics , world wide web , biochemistry , chemistry , geometry , gene
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom